<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1679-4974</journal-id>
<journal-title><![CDATA[Epidemiologia e Serviços de Saúde]]></journal-title>
<abbrev-journal-title><![CDATA[Epidemiol. Serv. Saúde]]></abbrev-journal-title>
<issn>1679-4974</issn>
<publisher>
<publisher-name><![CDATA[Secretaria de Vigilância em Saúde e Ambiente - Ministério da Saúde do Brasil]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1679-49742021000200014</article-id>
<article-id pub-id-type="doi">10.1590/s1679-49742021000200006</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Mapeamento dinâmico da probabilidade de infestação por vetores urbanos de arbovírus nos municípios do Rio Grande do Sul, 2016-2017]]></article-title>
<article-title xml:lang="es"><![CDATA[Mapeo dinámico de la probabilidad de infestación por vectores urbanos de arbovirus en los municipios de Rio Grande do Sul, Brasil, 2016-2017]]></article-title>
<article-title xml:lang="en"><![CDATA[Dynamic mapping of the probability of infestation by urban arbovirus vectors in the municipalities of Rio Grande do Sul state, Brazil, 2016-2017]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Luza]]></surname>
<given-names><![CDATA[André Luís]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gualdi]]></surname>
<given-names><![CDATA[Carolina Brandt]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Diefenbach]]></surname>
<given-names><![CDATA[Lúcia Maria Lopes de Almeida Guedes]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Schüler-Faccini]]></surname>
<given-names><![CDATA[Lavinia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ferraz]]></surname>
<given-names><![CDATA[Gonçalo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade Federal do Rio Grande do Sul Departamento de Ecologia ]]></institution>
<addr-line><![CDATA[Porto Alegre RS]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Governo do Estado do Rio Grande do Sul Secretaria de Estado de Saúde ]]></institution>
<addr-line><![CDATA[Porto Alegre RS]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidade Federal do Rio Grande do Sul Departamento de Genética ]]></institution>
<addr-line><![CDATA[Porto Alegre RS]]></addr-line>
<country>Brasil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2021</year>
</pub-date>
<volume>30</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_arttext&amp;pid=S1679-49742021000200014&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_abstract&amp;pid=S1679-49742021000200014&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_pdf&amp;pid=S1679-49742021000200014&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo  Objetivo  Comparar o mapeamento oficial com um mapeamento probabilístico da infestação por Aedes spp. nos municípios do Rio Grande do Sul, Brasil.  Métodos  Estudo ecológico com dados de amostras de criadouros em 2016-2017; obteve-se a classificação oficial em boletins epidemiológicos e estimou-se a probabilidade de infestação por município e semana, ajustando-se um modelo dinâmico de ocupação de sítios aos dados da vigilância epidemiológica municipal.  Resultados  187.245 amostras coletadas em 473 municípios originaram 10.648 detecções de Aedes aegypti e 8.414 de Aedes albopictus; o mapeamento oficial concorda com o probabilístico em municípios da região noroeste e oeste do RS; os mapeamentos discordam nas regiões leste, centro, nordeste e sul, revelando municípios oficialmente não infestados com alta probabilidade de infestação e notificação de arboviroses.  Conclusão  A classificação oficial identificou infestação nos municípios infestados do noroeste e oeste, e não identificou infestação em municípios com possíveis falsos zeros e onde ela varia temporalmente.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Objetivo  Comparar el mapeo oficial con un mapeo probabilístico de infestación por Aedes spp. en los municipios de Rio Grande do Sul, Brasil.  Métodos  Estudio ecológico analizando muestras colectadas en criaderos en 2016-2017; se obtuvo la clasificación oficial en boletines epidemiológicos, y la probabilidad de infestación por municipio y semana ajustando un modelo dinámico de ocupación de sitios a los datos de la vigilancia epidemiológica municipal.  Resultados  187.245 muestras de 473 municipios generaron 10.648 detecciones de Aedes aegypti y 8.414 detecciones de Aedes albopictus. El mapeo oficial está de acuerdo con el probabilístico en municipios del noroeste y oeste de RS; los mapeos no concuerdan en el este, centro, nordeste y sur, revelando municipios oficialmente no infestados con alta probabilidad de infestación y notificación de arbovirus.  Conclusión  Mientras la clasificación oficial identifica municipios del noroeste y oeste infestados críticamente, no identifica infestación en municipios con posiblemente falsos ceros y en donde la infestación varía temporalmente.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Objective  To compare official mapping with probabilistic mapping of infestation by Aedes spp. in the municipalities of Rio Grande do Sul state, Brazil.  Methods  This was an ecological study using data from samples of mosquito breeding sites collected in 2016-2017; official classification was obtained from epidemiological reports, and infestation per municipality and week was estimated by fitting a dynamic site-occupancy model to data from municipal epidemiological surveillance.  Results  187,245 samples collected in 473 municipalities returned 10,648 detections of Aedes aegypti, and 8,414 detections of Aedes albopictus; official mapping agrees with probabilistic mapping in municipalities in the northwestern and western regions of the state. The mappings are not in agreement in the eastern, central, northeastern and southern regions, revealing municipalities officially not infested but with high probability of infestation and notification of arbovirus infection.  Conclusion  While official classification identified critically infested municipalities in the state&#8217;s northwestern and western regions, it did not identify infestation in municipalities with possible false zero errors and where infestation varies over time.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Aedes]]></kwd>
<kwd lng="pt"><![CDATA[Estudos Ecológicos]]></kwd>
<kwd lng="pt"><![CDATA[Modelos Teóricos]]></kwd>
<kwd lng="pt"><![CDATA[Monitoramento Epidemiológico]]></kwd>
<kwd lng="pt"><![CDATA[Vetores de Doenças]]></kwd>
<kwd lng="es"><![CDATA[Aedes]]></kwd>
<kwd lng="es"><![CDATA[Estudios Ecológicos]]></kwd>
<kwd lng="es"><![CDATA[Modelos Teóricos]]></kwd>
<kwd lng="es"><![CDATA[Vectores de Enfermedades]]></kwd>
<kwd lng="es"><![CDATA[Monitoreo Epidemiológico]]></kwd>
<kwd lng="en"><![CDATA[Aedes]]></kwd>
<kwd lng="en"><![CDATA[Ecological Studies]]></kwd>
<kwd lng="en"><![CDATA[Models, Theoretical]]></kwd>
<kwd lng="en"><![CDATA[Disease Vectors]]></kwd>
<kwd lng="en"><![CDATA[Epidemiological Monitoring]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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